Cochlear Model

Cochlear models aim to simulate the complex biomechanics and signal processing of the inner ear, primarily to understand auditory perception and develop improved hearing aids and cochlear implants. Current research emphasizes refining existing models like CARFAC, incorporating biologically plausible neural networks (e.g., DeepSpeech), and leveraging self-supervised learning techniques to improve speech processing in noisy environments. These advancements are crucial for enhancing the design and efficacy of hearing technologies, leading to better outcomes for individuals with hearing impairments and furthering our understanding of auditory neuroscience.